旋转不变梯度直方图目标描述方法

doi:10.11999/JEIT150546

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Abstract

A rotation-invariant feature descripts method called Rotation Invariant Histogram of Oriented Gradients (RI-HOG) is proposed for automatic target recognition. RI-HOG calculates gradient of image first, then the image window is divided into a set of un-overlapped annular regions, called sells, and the Histogram of Gradient (HoG) is used to calculate a feature vector for each cells. After that the HoG of each circle is accumulated to get the main angle of the target area, and then it is rotated due to the main angle to make a normalization of the main angle. At last, the HoG of each circle after rotating is linked to generate the rotation-invariant target feature vector. Experiment results show that target detection method using RI-HOG can find the target under arbitrary rotations. RI-HOG is a rotation-invariant target feature descriptor.

Key words： Automatic target recognition Feature description method Histogram of Gradient (HoG) Rotation invariant

Received: 11 May 2015 Published: 18 November 2015

PACS:

TP391.4

Fund:

The Foundations of General Armament Department, Funds of Beijing Institute of Technology

Corresponding Authors: GONG Jiulu E-mail: lujiugong@bit.edu.cn

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	Articles by authors
	CHEN Derong
	WANG Wenbin
	LIU Bingtai
	JIANG Wei
	YU Da
	GONG Jiulu

Cite this article:

CHEN Derong,WANG Wenbin,LIU Bingtai等. Rotation-invariant Histogram of Oriented Gradients for Target Description[J]. JEIT, 2016, 38(1): 23-28.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150546 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I1/23

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